The Rise of Plant Pan‐Genomes: From Genome Variation to Predictive Breeding
Dan Peng, Xuezhu Liao, Liang Tang, Zhiqiang Wu · 2026
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Description
Dan Peng, Xuezhu Liao, Liang Tang, and Zhiqiang Wu wrote this review paper, published in 2026. It argues that plant pan-genomes, collections of all genes found across a crop's many strains, should move from cataloging differences to predicting which plants will breed best.
The authors sketch three shifts. First, big genome changes such as missing genes and rearranged blocks should be read as working parts that steer gene networks and traits, not just as differences. Second, widening the lens from one species to a whole genus can recover useful gene modules kept in wild cousins but lost in farming. Third, joining pan-genomes with other big-data layers and AI can turn raw variation into forecasts for breeders. The goal is planned genome design in place of trial-and-error selection.
Catalog record
| CREATOR | Dan Peng, Xuezhu Liao, Liang Tang, Zhiqiang Wu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 33 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |